Environmental data of an environment of the building and cooling load demand data are received as first training data, which are used for training a first machine learning model to predict a cooling load demand from environmental data. Furthermore, control signals for the chiller plant and cooling power data resulting from applying the control signals to the chiller plant are received as second training data which are used for training a second machine learning model to predict a cooling power from control signals. Actual environmental data are received, from which a cooling load demand is predicted by the trained first machine learning model. Furthermore, candidate control signals for the chiller plant are generated, and from which a resulting cooling power is predicted by the trained second machine learning model. From the candidate control signals, applicable control signals are selected for which a predicted cooling power fulfills the predicted cooling load demand.

Techniques for providing an adaptive energy management system for responding to extreme weather conditions are described herein. In an embodiment, a server computer stores multiple policy datasets each representing HVAC control policy for different structure locations and one or more extreme weather conditions. The server computer receives weather condition data comprising a condition identifier of a then-current extreme weather condition in association with a location identifier specifying a particular geographical region. Based on the location identifier, a particular structure location, being within the particular geographic region, is identified. Based on the particular structure location, a particular policy dataset from among the policy datasets is identified. The particular policy dataset is transformed into HVAC equipment instructions, which the server computer transmits, over a network, to HVAC equipment at the particular structure location which, when executed, cause the HVAC equipment to execute an action in accordance with the particular policy dataset.

The invention relates to a method for confirming an execution of a command for reducing electrical power consumption of at least one passenger transport vehicle the method comprising the following steps: sending (S1) a consumption reduction command signal to the regulation system of each vehicle, the command signal being modulated by a reference signal; obtaining (S2) a signal of the power consumed by the air conditioning means of the set of vehicles in response to the reference signal; and confirming (S3) the execution of the consumption reduction command according to characteristics of said signal of power consumed by the air conditioning means of the set of vehicles.

A wired remote controller is provided. The wired remote controller includes a display panel, a wired interface that is connected to an indoor unit by wire, a memory in which information on a power capacity for each indoor unit model is stored, and a processor that receives power from the indoor unit through the wired interface and communicates with the indoor unit through the wired interface, wherein the processor is configured to receive information on power consumption of the indoor unit through the wired interface, identify a power capacity corresponding to the indoor unit based on the information on the power capacity stored in the memory, and adjust the brightness of the display panel based on the identified power capacity and the received power consumption of the indoor unit.

An information processing apparatus performs a first estimation process based on a data set including a combination of information indicating a situation and information on power consumption when a first air conditioner, installed in a predetermined location, has been operated. The first estimation process is a process of estimating information on power consumption when the first air conditioner, installed in the predetermined location, is operated in a predetermined situation.

An air-conditioning system includes a plurality of air-conditioning apparatuses that, in an indoor space that is divided into a plurality of air-conditioned areas, each condition air in a corresponding one of the plurality of air-conditioned areas, a wireless communication module that communicates with an information communication terminal to which pieces of setting information that are each set for a corresponding one of the plurality of air-conditioning apparatuses and represent operational details of the air-conditioning apparatus are input, and a controller that controls the plurality of air-conditioning apparatuses on the basis of the pieces of setting information communicated via the wireless communication module.

Control process of a thermal plant including a distribution circuit for a carrier fluid having a delivery line and a return line, a central thermal treatment group placed on the circuit, and channels, each of which is hydraulically interposed between the delivery line and the return line to serve respective environments. For each of the channels, the plant includes a respective exchange unit, a flow regulator to regulate a flow rate of carrier fluid through in the respective channel, an ambient temperature detector, a temperature detector of the carrier fluid for detecting a delivery temperature of the carrier fluid in each channel, and a return temperature of the carrier fluid in each channel. The process also includes a thermal optimization procedure as a function of ambient temperature, delivery temperature and return temperature of the carrier fluid.

A control system for controlling consumption of energy in an environment including a controller having a processor and a real time clock, the real time clock being configured to coordinate operations of the processor with timing of the designated peak period, the processor being configured to determine a minimum pre-operating period and to signal an air conditioning and/or space heating system to enter an operating state for at least the minimum pre-operating period before the designated peak period begins and enter a non-operating state after the designated peak period begins; an operating program having processing parameters and processing procedure for determining the minimum pre-operating period, wherein the processing parameters and processing procedure comprise determining the minimum pre-operating period using thermal mass of the environment, costs for the consumption of energy, and efficiency of the air conditioning and/or space heating system.

A thermostat of an HVAC system receives active event parameters from a utility provider. The active event parameters include a start time, a stop time, and a predefined temperature setpoint for the active event, which is associated with a requirement to decrease energy consumption between the start time and the stop time. Following the start time, the thermostat adjusts a setpoint temperature of the HVAC system to the predefined setpoint temperature.

An air conditioning system control device 10 includes: a switching unit 11 that, when a parameter relating to the indoor environment in which the air conditioning system operates does not satisfy a first condition while the air conditioning system is operating in a first operation mode that is an operation mode in which setting values computed on the basis of a prediction model are used as the setting values for the air conditioning system, switches the operation mode of the air conditioning system to a second operation mode that is an operation mode in which the computed setting values are not used as the setting values for the air conditioning system.